Research Papers: Sensing

Label-free serum ribonucleic acid analysis for colorectal cancer detection by surface-enhanced Raman spectroscopy and multivariate analysis

[+] Author Affiliations
Yanping Chen

Fujian Normal University, Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fuzhou 350007, China

Teaching Hospital of Fujian Medical University, Fujian Provincial Tumor Hospital, Fuzhou 350014, China

Gang Chen, Jianji Pan, Xiongwei Zheng, Ying Su, Yan Chen

Teaching Hospital of Fujian Medical University, Fujian Provincial Tumor Hospital, Fuzhou 350014, China

Shangyuan Feng, Zufang Huang, Xiaoqian Lin, Rong Chen

Fujian Normal University, Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fuzhou 350007, China

Fenghua Lan

Research Center for Molecular Diagnosis of Genetic Diseases, Fuzhou General Hospital, Fuzhou 350025, China

Haishan Zeng

British Columbia Cancer Agency Research Centre, Integrative Oncology Department—Imaging Unit, Vancouver, British Columbia V5Z 1L3, Canada

J. Biomed. Opt. 17(6), 067003 (Jun 06, 2012). doi:10.1117/1.JBO.17.6.067003
History: Received December 31, 2011; Revised April 14, 2012; Accepted April 30, 2012
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Abstract.  Studies with circulating ribonucleic acid (RNA) not only provide new targets for cancer detection, but also open up the possibility of noninvasive gene expression profiling for cancer. In this paper, we developed a surface-enhanced Raman scattering (SERS), platform for detection and differentiation of serum RNAs of colorectal cancer. A novel three-dimensional (3-D), Ag nanofilm formed by dry MgSO4 aggregated silver nanoparticles, Ag NP, as the SERS-active substrate was presented to effectively enhance the RNA Raman signals. SERS measurements were performed on two groups of serum RNA samples. One group from patients, n=55 with pathologically diagnosed colorectal cancer and the other group from healthy controls, n=45. Tentative assignments of the Raman bands in the normalized SERS spectra demonstrated that there are differential expressions of cancer-related RNAs between the two groups. Linear discriminate analysis, based on principal component analysis, generated features can differentiate the colorectal cancer SERS spectra from normal SERS spectra with sensitivity of 89.1 percent and specificity of 95.6 percent. This exploratory study demonstrated great potential for developing serum RNA SERS analysis into a useful clinical tool for label-free, noninvasive screening and detection of colorectal cancers.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Yanping Chen ; Gang Chen ; Shangyuan Feng ; Jianji Pan ; Xiongwei Zheng, et al.
"Label-free serum ribonucleic acid analysis for colorectal cancer detection by surface-enhanced Raman spectroscopy and multivariate analysis", J. Biomed. Opt. 17(6), 067003 (Jun 06, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.6.067003


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